package client

import (
	"bytes"
	"context"
	"encoding/base64"
	"net/url"
	"os"
	"testing"
	"time"

	"reichard.io/aethera/internal/store"
)

const model = "qwen3-8b-vision"

func TestSendMessage(t *testing.T) {
	t.Skip("requires live LLM API - run manually with: go test -run TestSendMessage ./internal/client/")

	// Initialize Client
	baseURL, err := url.Parse("https://llm-api.va.reichard.io/v1")
	if err != nil {
		t.Fatalf("Failed to parse base URL: %v", err)
	}
	client := NewClient(baseURL)

	// Create Context
	ctx, cancel := context.WithTimeout(context.Background(), 120*time.Second)
	defer cancel()

	// Generate Text Stream
	var contentBuf, thinkingBuf bytes.Buffer
	_, err = client.SendMessage(ctx, []*store.Message{{
		Role:    "user",
		Content: "What is 2+2? Think step by step.",
	}}, model, func(mc *MessageChunk) error {
		if mc.Thinking != nil {
			_, err := thinkingBuf.Write([]byte(*mc.Thinking))
			return err
		}
		if mc.Message != nil {
			_, err := contentBuf.Write([]byte(*mc.Message))
			return err
		}
		return nil
	})
	if err != nil {
		t.Fatalf("Failed to generate text stream: %v", err)
	}

	// Verify Thinking
	thinking := thinkingBuf.String()
	if thinking == "" {
		t.Error("No thinking content was received")
	} else {
		t.Logf("Thinking (%d bytes): %s", len(thinking), thinking)
	}

	// Verify Content
	output := contentBuf.String()
	if output == "" {
		t.Error("No content was written to the buffer")
	} else {
		t.Logf("Content (%d bytes): %s", len(output), output)
	}
}

func TestSummarizeChat(t *testing.T) {
	// Initialize Client
	baseURL, err := url.Parse("https://llm-api.va.reichard.io/v1")
	if err != nil {
		t.Fatalf("Failed to parse base URL: %v", err)
	}
	client := NewClient(baseURL)

	// Create Context
	ctx, cancel := context.WithTimeout(context.Background(), 30*time.Second)
	defer cancel()

	// Generate Text Stream
	output, err := client.CreateTitle(ctx, "Hi!", model)
	if err != nil {
		t.Fatalf("Failed to generate text stream: %v", err)
	}

	// Verify Results
	if output == "" {
		t.Error("No content was written to the buffer")
	} else {
		t.Logf("Successfully received %d bytes from the stream", len(output))
		t.Logf("Output: %s", output)
	}
}

func TestSendMessageWithImage(t *testing.T) {
	// Initialize Client
	baseURL, err := url.Parse("https://llm-api.va.reichard.io/v1")
	if err != nil {
		t.Fatalf("Failed to parse base URL: %v", err)
	}
	client := NewClient(baseURL)

	// Create Context
	ctx, cancel := context.WithTimeout(context.Background(), 120*time.Second)
	defer cancel()

	// Load Test Image and Convert to Base64 Data URL
	imgData, err := os.ReadFile("./testdata/test_image.jpg")
	if err != nil {
		t.Fatalf("Failed to read test image: %v", err)
	}
	dataURL := "data:image/jpeg;base64," + base64.StdEncoding.EncodeToString(imgData)

	// Generate Text Stream
	var outputBuf bytes.Buffer
	_, err = client.SendMessage(ctx, []*store.Message{{
		Role:    "user",
		Content: "Describe this image in detail.",
		Images:  []string{dataURL},
	}}, model, func(mc *MessageChunk) error {
		if mc.Message != nil {
			outputBuf.WriteString(*mc.Message)
		}
		return nil
	})
	if err != nil {
		t.Fatalf("Failed to generate text stream: %v", err)
	}

	// Verify Response
	output := outputBuf.String()
	if output == "" {
		t.Error("No content was written to the buffer")
	} else {
		t.Logf("Model response (%d chars): %s", len(output), output)
	}
}